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Using Innovative Machine Learning Methods to Screen and Identify Predictors of Congenital Heart Diseases.

Abstract

Maternal UA, glucose, and coagulation levels were the most consistent and significant predictors of CHDs. Thresholds below the current clinical definition of "abnormal" for these predictors could be used to help develop CHD screening and prevention strategies.

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